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Senior Voice AI Engineer — HIPAA-Compliant AI Receptionist Platform
Senior Voice AI Engineer — HIPAA-Compliant AI Receptionist Platform
AIspire360 Inc's logo

Senior Voice AI Engineer — HIPAA-Compliant AI Receptionist Platform

Amit Mohan's profile picture
Posted by Amit Mohan
3 - 10 yrs
₹10L - ₹30L / yr
Remote only
Skills
Artificial Intelligence (AI)
HIPAA
Backend testing
API management

Company: AISpire360 Role: Senior Voice AI Engineer (Independent Contractor, Full-Time Engagement) Location: Remote (India-based preferred; must overlap 4–6 hours daily with London + US Eastern) Engagement: Full-time independent contractor — long-term Compensation: Competitive, paid in USD, monthly. Senior staff-level rates.

About AISpire360

We are building the operating system for medical practices in the US. Our flagship product is ARIA, an AI receptionist that handles inbound and outbound calls, intake, scheduling, eligibility, prior authorization workflows, and after-hours coverage for medical practices. We are in active production deployment with our first practice — a spine surgery practice at the Hospital for Special Surgery in New York. Multiple specialty practices are in our deployment pipeline.

The platform is built to be specialty-agnostic. The voice agent stack is the universal foundation. Knowledge layers (spine surgery, primary care, behavioral health, dermatology, cardiology, pediatrics, etc.) plug in as configuration. One platform, many specialties.

We are venture-backed, founder-led, and shipping. The technical decisions you make here will be in production within weeks.

What You'll Own

You are the technical anchor for the voice agent. You will be responsible for:

Real-time voice system

  • Voice agent stack on ElevenLabs Conversational AI (and evaluation of Retell, Vapi, LiveKit alternatives as we scale)
  • STT and TTS configuration, voice tuning, language and accent handling
  • Turn-taking, barge-in, end-of-speech detection, latency budgets
  • Driving end-to-end voice latency below 700ms (we currently target 600ms)
  • Quality vs. cost tradeoffs across voice tier selection (Premium / Turbo / Standard)
  • Silence-detection optimization for outbound calls (95% silence-discount realization)

HIPAA + PHI infrastructure

  • BAA-compliant hosting architecture (AWS-based, BAA in place)
  • PHI detection and redaction pipeline (AWS Comprehend Medical + custom pre-filters)
  • Encryption in transit and at rest, audit logging, 7-year retention compliance
  • Access controls, RBAC, kill-switch infrastructure
  • HIPAA Security Rule compliance for technical safeguards

Agent orchestration and tools

  • LLM integration (GPT-4o, Claude Sonnet, with model routing for cost optimization)
  • Tool calling for scheduling, eligibility checks, prior auth lookups, calendar booking, task creation
  • Multi-turn conversation state management
  • Multi-topic call handling and structured task generation
  • Safety-critical keyword detection and escalation routing

Integrations

  • EHR integration (Epic, Athena, eClinicalWorks — at least one in V1)
  • Insurance eligibility APIs (Availity, Change Healthcare, payer-specific)
  • Calendar integration (Google Calendar, Microsoft 365, Cal.com)
  • SMS and email gateways (Twilio, SendGrid)
  • Practice-specific webhooks for task manager surfacing

Multi-tenant platform foundations

  • Per-practice configuration loading (specialty profile + practice profile)
  • Per-tenant isolation, data segregation
  • Specialty-specific intake schemas, triage rules, safety keywords
  • Production observability (tracing, metrics, latency monitoring per practice)

Required Experience

You should be able to demonstrate, in a live walkthrough with code in hand, that you have shipped production voice AI systems. Specifically:

  • 3+ years of production voice/conversational AI experience. Not chatbots — actual real-time voice agents handling live phone calls. ElevenLabs, Retell, Vapi, LiveKit, OpenAI Realtime, Deepgram, or equivalent.
  • Deep familiarity with at least 2 of: ElevenLabs Conversational AI, Retell AI, Vapi, LiveKit Agents, OpenAI Realtime API. Production deployment experience required, not demo experience.
  • HIPAA and PHI handling experience in production. Not theoretical. You have signed BAAs, deployed in HIPAA-compliant environments, and built PHI redaction pipelines.
  • AWS infrastructure expertise. Specifically: ECS or Fargate, Lambda, S3 with encryption, KMS, CloudWatch, IAM, VPC, BAA-eligible service selection.
  • AWS Comprehend Medical or equivalent PHI detection experience.
  • Twilio or equivalent telephony provider experience. SIP trunking, inbound/outbound call flows, recording and transcription pipelines.
  • Latency optimization in real-time systems. You have hit sub-700ms voice latency in production and can explain the trade-offs you made.
  • LLM production experience. GPT-4o, Claude, or equivalent. Prompt engineering, tool calling, structured outputs, model routing for cost.
  • Python or TypeScript fluency. Production code, not scripts.
  • API integration experience. REST, webhooks, OAuth, async patterns. Bonus if you've integrated with EHRs (Epic FHIR, Athena, eClinicalWorks).

Nice to Have

  • Healthcare domain experience (EHRs, clinical workflows, medical terminology)
  • Prior auth or eligibility verification workflow experience
  • Multi-tenant SaaS architecture experience
  • SOC 2 audit experience
  • Experience with knowledge graphs (PostgreSQL + pgvector, Neo4j, or similar)
  • Open-source contributions to LangChain, LiveKit, Pipecat, or similar voice/agent frameworks
  • Demonstrated ability to ship to production fast (not perfectionism — pragmatic engineering)

What This Engagement Looks Like

  • Independent contractor. You invoice us monthly. We pay in USD via wire transfer or Wise.
  • Full-time engagement. This is your primary work. We expect ~40 hours/week of focused output.
  • Long-term. We are not looking for a 3-month engagement. Expect this to run 12+ months.
  • You sign a BAA with us. This is non-negotiable due to the nature of the work.
  • You are eligible for future equity grants as we formalize the team structure.
  • Direct working relationship with our CTO (London-based) and founders (NYC and India).
  • Time-zone overlap required: at least 4–6 hours of daily overlap with both London and US Eastern. Indian Standard Time evenings (6 PM IST onward) work well.

How We'll Evaluate You

Our hiring process is fast and substantive. No take-homes. No multi-round bureaucracy.

  1. Initial screen (30 min): Background, what you've shipped, compensation expectations, BAA-readiness.
  2. Technical deep-dive (90 min): Walk us through a production voice AI system you've shipped. Code in hand. Architecture diagrams. Real production numbers — latency, cost per call, scale. We will ask follow-up questions about specific decisions you made.
  3. System design (90 min, live): We give you a design problem — a HIPAA-compliant voice agent for a medical specialty we don't yet support. You design end-to-end on a whiteboard / Excalidraw. We probe trade-offs.
  4. Founders + CTO conversation (60 min): Mutual fit. You ask us hard questions. We answer honestly.

Total: 4–5 hours of your time. We'll move from first conversation to offer in 7–10 days for the right candidate.

What We Will NOT Accept

  • Take-home assignments produced by other AI tools. We will ask you to walk through code live; if you can't explain decisions you didn't make, the interview ends.
  • Resume claims you can't substantiate. We verify employment via EPFO/UAN where applicable.
  • "I've done LLM chatbots" experience without production voice agent experience. They are not the same skill.
  • Engagement structures that conflict with this being your primary work.

How to Apply

Send a brief message with:

  1. A link to a production voice AI system you've shipped (or, if NDA'd, a description of the architecture and your specific contribution).
  2. Two or three sentences on why this role fits you specifically — not a generic cover letter.
  3. Your current compensation expectation in USD per month.
  4. Your earliest start date and current time-zone availability.

We read every message. We respond within 5 business days, including with "no" answers. We don't ghost.


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About AIspire360 Inc

Founded :
2025
Type :
Products & Services
Size :
0-20
Stage :
Bootstrapped

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• Vector database experience (Pinecone/FAISS/Chroma)

• Strong understanding of REST APIs and backend development

• Ability to work independently, experiment fast, and deliver clean code

Nice to Have

• Experience with cloud (AWS/GCP)

• Node.js knowledge

• LangGraph, LlamaIndex

• MLOps or deployment experience


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Techwize
Ahmedabad
4 - 13 yrs
₹2L - ₹15L / yr
Artificial Intelligence (AI)
Generative AI
Large Language Models (LLM) tuning
Natural Language Processing (NLP)
Prompt engineering
+3 more

We are looking for skilled AI Engineer for our organization. Please have a look to below details and revert accordingly if we can discuss further


Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)

Our Accreditations -

  • 25 years of industry presence
  • Salesforce Partner
  • ISO 27001:2019 certified
  • Great Place to Work certified
  • HIPAA Compliant
  • SOC2 Compliant
  • NASSCOM Member

Our EVP (Employee Value proposition)

  • We are a Great place to work certified company.
  • 30 Earned Leaves during calendar Year
  • Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
  • Performance bonus & Loyalty Bonus Benefits
  • 5 Days working
  • Rewards and Recognition programs
  • Standard Salary as per market norms
  • Equal career opportunities, No discrimination
  • Magnificent & Dynamic Culture
  • Festival celebrations & fun events

Explore more : https://techwize.com/https://mangalaminfotech.com/


Position: AI/Sr. AI Engineer

Job location: Ahmedabad

Experience: 4+ years


Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLPComputer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Key Responsibilities:

  • Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
  • Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
  • Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
  • Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
  • Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
  • Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
  • Optimize models for performance, cost-efficiency, and low latency in production.
  • Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
  • Mentor junior AI engineers and contribute to internal AI best practices and documentation.

Required Skills & Qualifications:

  • Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
  • 5+ years of hands-on experience in AI/ML solution development.
  • Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
  • Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).

  • Proficient in key AI libraries and frameworks:
  • LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
  • NLP: SpaCy, NLTK.
  • Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
  • MLOps: MLflow, FastAPI, Docker, Git

  • Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
  • Experience with cloud platforms like AWSGCP, or Azure, and deployment on in house GPU-backed infrastructure.
  • Strong communication skills and ability to convert business problems into technical solutions.


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StrategyConnect
Strategy Connect
Posted by Strategy Connect
Remote only
3 - 10 yrs
$6K - $12K / yr
Fullstack Developer
Artificial Intelligence (AI)
Large Language Models (LLM)
LangChain
skill iconReact.js
+4 more

About the job 

1. Develop responsive, user-friendly, and visually appealing web applications using React, Node.js, and Tailwind. 

2. Collaborate with the design team to transform mockups into pixel-perfect web applications. 

3. Implement UI designs and build reusable components with React and Tailwind. 

4. Write clean, efficient, and maintainable code. 

5. Troubleshoot and debug issues as they arise. 

6. Optimize the application for performance, scalability, and usability. 

7. Stay updated with the latest trends and technologies in front-end development. 


Skill(s) required 

Backend development 

Frontend developmen 

MySQL 

Node.js 

React 

Tailwind 

CSS 


Who can apply 

Only those candidates can apply who: 

1. Have minimum 3 years of experience 


Other requirements 

1. Bachelor's degree in Computer Science or related field. 

2. Minimum 3-4 years of experience in front-end development. 

3. Strong proficiency in React, NextJS, HTML, CSS, and JavaScript. 

4. Familiarity with Agile development methodologies. 

5. Excellent problem-solving abilities and attention to detail. 

6. Ability to work collaboratively in a remote team environment. 

7. Strong communication skills in English. 


Perks 

5 days a week 

Work from home 


Number of openings 


About Strategy Connect

We, at Strategy Connect, are building a B2B SaaS solution for strategy consulting companies to manage their teams and workflows. We are a Dubai-based & well-funded company that has been a part of TechStars. We are working with Government entities in the UAE. Our development and design functions are based out of India. 

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Chandigarh
0 - 0 yrs
₹5.9L - ₹5.9L / yr
Web applications
Video game development
skill iconPython
Unity 3D
Artificial Intelligence (AI)

Position: Senior Project Associate= 01


Essential Qualification:

(i) Master’s Degree in Natural or Agricultural Sciences/ MVSc or bachelor’s degree in Engineering or Technology or Medicine from a recognized University or equivalent

and

(ii) Four year’s experience in Research and Development in industrial and Academic Institutions or Science and Technology Organisations and Scientific activities and services

OR

Doctoral Degree in Science/ Engineering/ Technology/ Pharma/ MD/ MS from a recognized University or equivalent


Desirable Qualification: Full stack developer with demonstrable experience in working with different operating systems, Programming Languages (Shell Scripts, Python, C, MySQL, MariaDB, SQLite, HTML, PHP), Database Server (MySQL, OpenLDAP), Apache and NGINX Web Server, hands-on experience with application performance indicators like red metrics etc and Unity3D. Experience in React Native, online mentoring and content creation. Machine learning and evolutionary biology knowledge will be an added advantage. Previous experience in game development is highly desirable.


Upper Age limit (years) - 40


Monthly Emoluments: 42,000/- +HRA


Deadline for application - 22-Apr-2024

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